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Statistical analysis of network data with R

Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back cent...

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Detalles Bibliográficos
Autores principales: Kolaczyk, Eric D, Csárdi, Gábor
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4939-0983-4
http://cds.cern.ch/record/1707507
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author Kolaczyk, Eric D
Csárdi, Gábor
author_facet Kolaczyk, Eric D
Csárdi, Gábor
author_sort Kolaczyk, Eric D
collection CERN
description Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).
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spelling cern-17075072021-04-21T20:58:39Zdoi:10.1007/978-1-4939-0983-4http://cds.cern.ch/record/1707507engKolaczyk, Eric DCsárdi, GáborStatistical analysis of network data with RMathematical Physics and MathematicsNetworks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).Springeroai:cds.cern.ch:17075072014
spellingShingle Mathematical Physics and Mathematics
Kolaczyk, Eric D
Csárdi, Gábor
Statistical analysis of network data with R
title Statistical analysis of network data with R
title_full Statistical analysis of network data with R
title_fullStr Statistical analysis of network data with R
title_full_unstemmed Statistical analysis of network data with R
title_short Statistical analysis of network data with R
title_sort statistical analysis of network data with r
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4939-0983-4
http://cds.cern.ch/record/1707507
work_keys_str_mv AT kolaczykericd statisticalanalysisofnetworkdatawithr
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